Left, Right, and Gender : Exploring Interaction Traces to Mitigate Human Biases
Human biases impact the way people analyze data and make decisions. Recent work has shown that some visualization designs can better support cognitive processes and mitigate cognitive biases (i.e., errors that occur due to the use of mental "shortcuts"). In this work, we explore how visual...
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Détails bibliographiques
Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 28(2022), 1 vom: 01. Jan., Seite 966-975
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Auteur principal: |
Wall, Emily
(Auteur) |
Autres auteurs: |
Narechania, Arpit,
Coscia, Adam,
Paden, Jamal,
Endert, Alex |
Format: | Article en ligne
|
Langue: | English |
Publié: |
2022
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Accès à la collection: | IEEE transactions on visualization and computer graphics
|
Sujets: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |